We believe anyone can improve their home to make life better. From our Southampton Store Support office (SSO) we equip our stores, our people, and our whole business with everything it takes to help our millions of customers create a home they'll love. Join us as a Senior Data Scientist and you'll be a big part of this. What's the job?:

Lead, coach and develop the Data Science team, setting clear priorities and raising technical standards.
Own delivery of the B&Q data science roadmap, managing the backlog and prioritising work based on value, feasibility and business need.
Lead the development of models and data science products across churn, customer value, forecasting, segmentation, propensity, recommendation, personalisation etc
Ensure data science products are robust, explainable, documented, governed and deployed into production where they can be used by the business.
Develop reusable customer features, segmentations and behavioural signals that support CRM, Loyalty, Retail Media, Digital and wider business teams.
Work with stakeholders to translate business problems into practical data science solutions, challenging unclear briefs where needed.
Partner with Product, Data, Technology and Kingfisher Group teams to ensure data science outputs are scalable, governed and aligned to wider roadmaps.
Bring external thinking into B&Q by staying close to developments in retail, customer analytics, machine learning and AI.
Drive measurable value for B&Q, TradePoint and our customers through better use of data science

Proven experience leading data science delivery in a commercial environment.
Experience managing, coaching or developing technical specialists.
Strong technical understanding of machine learning, statistics and applied analytics.
Strong practical knowledge of Python, with strong SQL capability.
Experience working with customer, behavioural, transactional or commercial data.
Experience developing models such as churn, customer lifetime value, segmentation, forecasting, propensity or recommendation models.
Experience taking data science products from concept through to production or repeatable business use.
Experience working with cloud-based analytical platforms such as Databricks, Snowflake, Google BigQuery or similar.
Experienced in modern, agile data science delivery using version control, CI/CD, and cloud-based tooling.
Strong understanding of code quality, documentation, version control, testing, quality assurance and reproducibility.
Able to manage a technical backlog and prioritise work based on value, effort, feasibility and business need.
Strong stakeholder management skills, with the confidence to challenge, influence and simplify.
Commercially minded, with a focus on outputs that drive action and measurable value.
Able to explain complex data science work clearly to non-technical audiences.

As well as a competitive salary, our benefits package includes:
Award-winning pension scheme
Bonus
ShareSave options
6.6 weeks holiday
Payroll giving
Employee Assistance Programme
Shopping discounts
Colleague wellbeing benefits

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